MULTI-ZONE ANIMAL MONITORING, PHYSIOLOGICAL ANOMALY MARKING AND HARDWARE VERIFICATION SYSTEM

Abstract

The invention relates to the surface temperature of the head and neck region of animals, and the temperature around the nostrils. respiratory rhythm and stool form from the waste area (Bristol Scale) multi-zone AI Monitoring via Thermal Camera (2) networks; data obtained in the hardware unit (1) FFT analysis of the animal’s natural rhythm and externally generated by accelerometer (6). MEMS that clips onto the outer surface of the milking hose, isolating it from the vibration. Microphone module (11) with cup slippage, clogging, foam / air ingress and machine classifying mechanical anomalies such as tuning deviations based on acoustic signature; multiple provided that at least three channels simultaneously generate anomaly signals from the source data (AND-gate) presents the communication line as a priority list; galvanically. physical cut (8); data sealed with AES-256 (7) and central subscription token It is an animal welfare monitoring ecosystem that does not allow data transmission without approval (10). This invention is not a medical diagnostic tool; it does not replace a veterinary examination decision.

Description

35 TARIFF Compartment-Based Multimodal Welfare Monitoring System for Valuable Poultry — Hardware AND-Gate, MOSFET Galvanically Isolated, Subscription Controlled. Communication, Partition-Specific Baseline and Pedigree-Integrated Architecture TECHNICAL FIELD This invention is used to develop valuable poultry (carrier pigeons and other pigeon breeds, heritage pigeons, and others). (including show chicken breeds, breeding turkeys, ducks, and geese) multimodal welfare status Monitoring via sensor fusion; poultry in compartmentalized coops or lofts Detection of positional-physiological anomalies in its structure; AI thermal camera, MEMS accelerometer and body temperature sensor-based individual and herd behavior analysis; cryptographic subscription Physical control of the data transmission line with token-based MOSFET galvanic isolation; Authorized data flow with hardware fingerprint-based local license verification; and Data integrated with existing pedigree registration systems (especially the 2026 / 004242 NFC ring). It relates to an integrated electronic ecosystem that includes sealing. The invention is a poultry wellness monitoring system and is not a medical diagnostic tool; It does not replace a veterinary examination decision. STATE OF THE ART Application number 2026 / 004612 submitted to TÜRKPATENT by the applicant As clearly stated in the Technical Section (filed 28.03.2026), the aforementioned The application is for 'location tracking of poultry and mammal farm animals, multi-regional optical data'. Data collection (monitoring temperature, breath, and stool form), acceleration data-based motion analysis, and subscriptions. It relates to an electronic ecosystem that includes a digital authorization mechanism based on the same principles. the application's phrase 'cameras in different parts of the poultry house or barn' and Claim 2 'Multiple AI Thermal systems placed in different sections of the facility (poultry / barn compartments)' The definition of 'Camera Station' includes poultry farms within the technical scope of the application. It is receiving application number 2026 / 004242 (filed 24.03.2026) 'For Poultry'. Contactless Data Transfer Digital Identity, Pedigree and Health Tracking Equipment It bears the title of application number 2026 / 004241 (filed on 24.03.2026) 'Long Long-range, low-power, mesh-based, and ultra-lightweight winged It is titled 'Tracking Ecosystem'. Existing commercial products in the poultry welfare monitoring and tracking field include OrionTrack. PigeonBand Pro (GPS+BLE bracelet, individual bird-based), ColumbaLink AirTag+ (magnetic 1 35 (charging, BLE / LoRaWAN, individual bird-based), AviRings Live (RFID-based, single bird-based), Benzing / Bricon / Unikon / Mega electronic clock systems (race timing, welfare monitoring) (none), Cargill REVEAL Layers (NIR scanner, no individual sensors), Allflex / MSD SenseHub (Cattle ear accelerometer, not applicable to poultry) can be listed in this way. These products None of them have a compartment-based fixed thermal camera array, compartment identifier NFC gate, or drive system. clustering analysis or hardware AND-gate 3-modality combination It is not available. THE PURPOSE OF THE INVENTION This invention aims to address the following shortcomings in the field of valuable poultry farming: Developed: (1) Lack of compartment-based tracking architecture: Existing racing pigeon and Industrial poultry products have not been able to commercialize the compartmentalized poultry / loft structure. (2) Lack of combination for swarm clustering: AI thermal camera, IMU FFT, and body temperature. AND-gate 3 modality combination is not productized for winged. (3) Individual and flock Lack of hybrid monitoring: Existing products are either individual only or herd-based only. (4) Lack of pedigree-health single package integration: Family tree data and welfare monitoring data. In existing systems, they are kept in separate databases. (5) OLR / Pre-Show health Lack of certification: AES sealed, X.509 for racing associations and competition organizations. There is no product that generates a signed welfare monitoring summary. (6) Lack of hardware security: Existing Winged sensor products utilize open BLE / LoRa data transmission. This invention solves these shortcomings through a combination of the following main elements: partitioning. AI thermal camera station based on (2), ultra-light hardware unit (1) (maximum 3 g, bracelet / leg ring), compartment identifier NFC gate (4), hardware AND-gate (11) (en (at least 3 modalities simultaneously), MOSFET galvanic isolation (8) and subscription with AES-256 (13). token-based security, split-based baseline register (14) (14-28 days, type-specific) and 2026 / 004242 NFC pedigree integration. DESCRIPTION OF THE FIGURES Figure 1 — General system architecture: Compartmented loft structure; each compartment (5) positioned AI thermal camera station (2); hardware on individual wing unit (1); NFC gate identifier at compartment entrance (4); local central hub (3); cloud server (10). Figure 2 — Partition detail view: Close-up view of a single partition (5); camera angle, Height from the base, distribution of birds inside the compartment, location of the NFC gate (4). 2 35 Figure 3 — Hardware unit (1) form factor and components: Leg ring shaped Structured housing; passive NFC chip (9), accelerometer (6), temperature sensor (7), battery; en Excessive total weight of 3 g; mechanical lock detail. Figure 4 — Hardware AND-gate (11) operation: Three modality inputs (thermal anomaly, IMU FFT anomaly, body temperature anomaly); maximum 5-minute temporal correlation window; well-being Priority flag printout. Figure 5 — Flowchart of the 14-28 day baseline register (14) based on the compartment: Each compartment Independent baseline creation process; loading type-specific parameter table; baseline Completion criteria. Figure 6 — MOSFET galvanic isolation (8) and AES-256 (13) safety architecture: Bus default OFF; token verification flow; device fingerprint (12) hash account. Figure 7 — OLR / Federation integration (16) flow: 24-hour welfare monitoring before the race Summary generation; X.509 signing; transmission to the federation server; by the race commission. verification. EXPLANATION OF REFERENCES IN THE FIGURES (1) Hardware unit (bracelet / leg ring, maximum 3 g) (2) AI thermal infrared camera station (partition-based fixed) (3) Local central hub (field server) (4) Division identifier NFC gate (5) Compartment (loft / poultry subunit) (6) In-ring 3-axis MEMS accelerometer (100 Hz) (7) Bracelet temperature sensor (8) Physical energy cutoff circuit (MOSFET galvanic isolation) (9) Passive NFC microchip (2026 / 004242 integration) 3 35 (10) Cloud server / subscription token generator (11) Hardware AND gate (at least 3 modalities) (12) Device fingerprint (motherboard+CPU+disk hash) (13) AES-256 cryptographic unit (14) Division-based baseline register (15) Edge AI inference chip (16) OLR / Federation integration API gateway EXPLANATION OF THE INVENTION The system includes at least one fixed AI thermal infrared camera station assigned to each compartment (5). (2) includes. The camera station (2) is within the field of view of the compartment assigned to it. to monitor herd clustering patterns and individual animal body temperature distribution It is mechanically fixed and configured with the optical axis facing the bulkhead base. Each poultry animal has a device weighing a maximum of 3 grams that is attached to the leg or under the wing. It carries a hardware unit (1). This hardware unit includes a passive NFC microchip (9), 3-axis MEMS includes an accelerometer (6) and a temperature sensor (7). Each compartment (5) has a compartment identifier NFC gate (4) at its entrance. This gate detects what enters the compartment. and divide the animal identity by reading the NFC microchip (9) of the resulting hardware unit (1). It associates it with identity. Hardware AND-gate (11) located within the local central hub (3), at least three It has dedicated logic inputs awaiting a simultaneous anomaly flag from an independent modality: (i) thermal anomaly flag from thermal camera station (2); (ii) from accelerometer (6) incoming FFT frequency-domain anomaly flag; (iii) body from temperature sensor (7) Temperature deviation flag. AND-gate (11), temporal correlation of up to 5 minutes. It waits for all entrances within its window to move to a high position; otherwise, welfare takes priority. The flag is not to be flown. Data transmission line between hardware unit (1) and local hub (3), physical power interruption The circuit is controlled by (8). The circuit in question is a MOSFET galvanic isolation circuit. 4 It contains a switching element and is configured as OFF by default. MOSFET (8) is only ON when a valid cryptographic subscription token is received. valid; the token in question was generated by a remote license server (10), a private signed with the key, encrypted with AES-256 symmetric cipher (13) and local hub (3) derived from the motherboard serial number, CPU identifier, and disk serial number The device is linked to the fingerprint (12). The system contains an independent baseline register (14) for each division (5). This register is the division Based on flock clustering pattern and individual poultry body temperature, acceleration FFT spectral center and activity rhythm reference values ​​for 14 to 28 calendar days without generating a warning. balls. The system outputs a veterinary examination priority flag that is not a medical diagnostic tool. It produces; this output is used by the grower as a priority indicator. HOW THE INVENTION WAS APPLIED TO INDUSTRY The invention includes racing pigeon lofts, heritage chicken breeding facilities, and show / competition poultry. applicable in businesses. In a racing pigeon loft application, the loft structure typically has 8–20 compartments (5). (mating pens, cub rearing pen, adult racing team pen, breeding pen) compartment, quarantine compartment). Each compartment has at least 1 AI thermal camera station (2) positioned from the ceiling; maximum 3 g equipment units per bird (1) federation ring It can be worn as a slip ring or as a freestanding leg loop. 24-hour pre-race health check. The summary is forwarded to the OLR commission (16). In heritage chicken breeding practices, the breeds used are Denizli rooster, Gerze hen, Hacıkadı, and Sultan. In native breed conservation projects such as this, the breeding facility typically contains 1 compartment (5) per family. In each family compartment, swarm clustering patterns and individual body temperatures are monitored. Species-specific. The baseline parameter table is selected by the grower via the mobile application. Every user interface output includes the following mandatory disclaimer: 'This system is not for medical diagnostics.' It is not a remedy. Consult your veterinarian for a definitive diagnosis and treatment.

Claims

35 REQUESTS 1. Valuable poultry breeds (carrier pigeons, game and ornamental pigeon breeds, heritage and a welfare monitoring of show chicken breeds (including breeding turkeys, ducks and geese) electronic system; within a compartmentalized poultry house or loft structure (5) The feature of being positioned is; (a) the system, at least one assigned to each compartment (5). including a fixed AI thermal infrared camera station (2); the camera station in question (2) the swarm clustering pattern and individual within the field of view of the compartment assigned to it (5). mechanically fixed and optically designed to monitor the distribution of animal body temperature. (b) each poultry animal, A piece of equipment weighing a maximum of 3 grams, attached to the leg or under the wing (1) carrying; the hardware unit in question (1), passive NFC microchip (9), 3-axis MEMS (c) containing accelerometer (6) and temperature sensor (7); each compartment (5) inlet, compartment The presence of an identifying NFC gate (4); the gate (4) is the gate of which enters and exits the compartment. Reading the NFC microchip (9) of the hardware unit (1) and identifying the animal with the division ID association; (d) the system is located within a local central hub (3) It must include a hardware AND gate (11); the said AND gate (11) must have at least three independent It has dedicated logic inputs that are awaiting a simultaneous anomaly flag from the modality and says The modalities in question are: (i) thermal from the thermal camera station (2) thermal (ii) anomaly flag from accelerometer (6); (iii) Body temperature deviation flag from temperature sensor (7); AND-gate (11), maximum all inputs should move to a high position within the minute-by-minute temporal correlation window. It will wait; otherwise, the structure will be such that the banner of welfare priority will not be raised. (e) the data transmission line between the hardware unit (1) and the local hub (3) must be physical The circuit (8) is controlled by the power cut-off circuit; the circuit (8) is a The MOSFET contains a galvanic isolation switching element and is OFF by default. (f) MOSFET (8), only a valid cryptographic The subscription token must be configured to turn ON upon receipt; The subject token is a private key generated by a remote license server (10). signed, encrypted with AES-256 symmetric cipher (13) and serial of local hub (3) motherboard a device derived from its number, CPU identifier, and disk serial number (12) being linked to the fingerprint; (g) the system being independent for each compartment (5) containing the division baseline register (14); the said register (14) contains the division baseline register (14), clustering pattern and individual poultry body temperature, acceleration FFT spectral center and activity The rhythm will collect reference values ​​for 14 to 28 calendar days without generating any warnings. (h) the system being structured in a way that does not have the characteristics of a medical diagnostic tool, veterinary not a substitute for inspection and used as a priority by the breeder It is characterized by producing a veterinary examination priority flag printout. 6 35 2. The system is characterized by the following according to claim 1: each AI thermal camera station (2) has its own will analyze the spatial distribution pattern of the flock of birds within the assigned compartment (5) The analysis should be structured in such a way that it distinguishes at least the following patterns: (i) (ii) grouping pattern — concentration of the flock in one corner of the compartment; (ii) dispersal pattern — (iii) wide spread of the herd into the partition area; (iii) isolation pattern — one or several individuals Spatial separation from the herd; isolated individuals as candidates for welfare anomalies. marking; the detected pattern, anomaly to a modality input of AND-gate (11) It is characterized by being transmitted as a flag.

3. The system according to claim 1 is characterized by; thermal camera station (2) and equipment The unit (1) is calibrated according to the physiological ranges of poultry; performing measurements of: (i) poultry body surface temperature, underwing and chest Monitoring the region using the normal range of 41.0°C to 42.5°C as a reference; (ii) respiratory rate, per minute via chest swing image analysis of thermal camera (2) (iii) measuring between 15-30 breaths; feather predisposition and posture status, thermal-RGB (iv) evaluation of the system, udder, teat, udder and milking components using hybrid image analysis. (v) not performing any thermal or optical measurements related to the system, winged A separate visual category chart for stool (watery / normal / granular / uric acid predominant) It is characterized by its use.

4. The system is defined according to claim 1 as having the following features: accelerometer (6) inside the hardware unit (1) The three-axis acceleration signal collected by the system at a sampling frequency of 100 Hz, Converting the system to frequency-domain representation using the Fourier Transform (FFT); the system's language The subject is to distinguish the following spectral bands on the frequency-domain representation: (i) flying (ii) band (5-15 Hz) — flapping frequency; (ii) perch / rest band (static, below 0.3 Hz) — (iii) the bird's motionless position on the perch; walking / standing activity band (0.5-3 Hz) — the bird's Walking or standing movement on the partition floor; (iv) stress / abnormality band — individual Deviation from the reference bands (14) in the baseline register according to the animal baseline; The AND gate (11) is transmitted as an anomaly flag to a modality input; the system, time-domain movement counting, time threshold, or rule-based behavior segmentation It is characterized by its non-use.

5. The system is based on the following according to claim 1; compartment identifier NFC gate (4) and compartment-based Establishing a hybrid tracking link between baseline register (14); according to the link in question: (i) Each time an animal passes through the compartment (5), the compartment is marked by the NFC gate (4). (ii) associating it with its identity; (ii) the system determining how long the animal stayed in which compartment (iii) individual The animal baseline register is only with the compartment baseline it is currently in. comparison; when an animal changes compartments, the new compartment baseline is used as a reference. 7 35 (iv) re-association; in this way, compartment-specific environmental conditions (temperature, light, (herd density) by separating it from individual animal anomaly assessment It is the characterization of the situation.

6. The system is based on claim 1 and its feature is that the division-based baseline register (14) is based on the animal species. having predefined parameter tables according to the species-specific requirements. The tables must include at least the following: (i) for carrier (racing) pigeons: body temperature 40.5-42.0°C, resting heart rate 200-220 beats / min, perch activity above eighty-five percent at night; (ii) For game and ornamental pigeon breeds: body temperature 40.5-42.0°C, threshold activity according to species. 60-150 min / day; (iii) heritage chicken breeds (Denizli, Gerze, Sultan, Hacıkadı, Brahma, For Cochin, Silkie, Wyandotte, etc.: body temperature 41.0-42.5°C, daytime perching activity. fifteen six percent; (iv) for show winged: type standard identified by SOP ID calling Parameter loading; (v) for heritage turkeys, ducks and geese: location / rest of the relevant species rhythm references; the system's NFC ID written into the bracelet (1) assigns the animal species. with the label or species selection made by the grower via the mobile application It is characterized by its ability to accomplish things.

7. The system is defined in accordance with claim 1 as; the hardware unit (1) passive NFC microchip (9), In accordance with the NFC pedigree ring data structure disclosed in application number 2026 / 004242 structuring; thanks to this compatibility: (i) the animal's pedigree data (parent-offspring records, federation ring number) and welfare monitoring data (body temperature history, activity pattern, split transition record) combined into a single AES-256 sealed data packet; (ii) the data packet in question cannot be read without the grower's consent or (iii) Transmission through the MOSFET (8) galvanic isolation channel in an invariable manner. Pre-race health screening, integrated pedigree+health during sales or transfer transactions. It is characterized by the presentation of data all at once.

8. The system, according to Claim 1, is characterized by its use of OLR (One Loft Race) racing associations and It includes an integration API gateway (16) for winged competition / show organizations; The subject of the gate: (i) for racing pigeons, at least 24 hours before the race flight, the animal The welfare monitoring summary will be submitted to the race commission in an AES-256 sealed format. (ii) for heritage and show winged, competition / show registration form (iii) generating a 7-day welfare monitoring certificate that can be added by the federation server the accepted format will be in accordance with the ITU-T X.509 cryptographic signature standard. (iv) the reports in question must be structured; medical diagnosis or veterinary examination It is characterized by the fact that it does not have the status of a document.

9. The system is a dedicated Edge AI inference system within the local hub (3) according to claim 1. The chip (15) has: (i) thermal camera (2), accelerometer (6) and temperature 8 (ii) in-device scoring of sensor (7) data before transmission to AND-gate (11); Extremely high anomaly value from the modality (e.g., body temperature above 43°C or 5) When immobility exceeding one minute is detected, the AND-gate bypasses the waiting window and triggers an emergency. (iii) when the emergency flag is maintained, MOSFET (8) only the current flag is maintained. (iv) the system transmits data to the local hub by switching ON with the subscription token; each The following mandatory waiver must be submitted along with the printout of the veterinary examination priority flag: 'This system is not a medical diagnostic tool. For definitive diagnosis and treatment, consult your veterinarian.'; (v) The aforementioned disclaimer is included in the mobile app notification, local hub screen, and federation. It is configured to be included in all user interface outputs, such as reports. It is the characterization of the situation. 9

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